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Dreame X60 Pro Ultra S Complete

Dreame X60 Pro Ultra S Complete in Home Assistant

Appliances · Matter, Wi-Fi

Matter
We have a detailed page on this device with compatibility ratings and prices. Details and compatibility

Facts about this device

Brand
Dreame
Model
Dreame X60 Pro Ultra S Complete
Device type
Appliances
Radio
Matter, Wi-Fi

Where to buy

DREAME C, 100 X60 Pro Ultra Saugroboter mit UltraExtend-Armen, AI OmniSight-System, 42.000Pa Saugkraft und 10 cm Hindernisüberwindung

dreame

DREAME C, 100 X60 Pro Ultra Saugroboter mit UltraExtend-Armen, AI OmniSight-System, 42.000Pa Saugkraft und 10 cm Hindernisüberwindung

3 offers

Offers for DREAME C, 100 X60 Pro Ultra Saugroboter mit UltraExtend-Armen, AI OmniSight-System, 42.000Pa Saugkraft und 10 cm Hindernisüberwindung, best price first, then sorted by total price
Shop Offer Price Shipping Delivery Go to shop
Best price DREAME X60 Pro Ultra Complete Saugroboter mit UltraExtend-Armen,42.000Pa | AI OmniSight-System, 10 cm Hindernisüberwindung,11 A PowerMaster, Mopp-Selbstreinigung 100 °C, 100 % Haarentwirrung Amazon Best Sellers Rank: No. 608 €949.00 instead of €1,499.00 37 % cheaper Shipping see shop Auf Lager View offer at Amazon.de
Dreame X60 Pro Ultra Complete White €949.00 Shipping free Morgen gratis geliefert View offer at Coolblue.de
Dreame Roboter Staubsauger X60 Pro Ultra Complete - Black €1,549.00 Shipping €5.99 Total €1,554.99 1-3 Days View offer at Proshop.de

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Prices incl. VAT, plus shipping. Last updated: October 31, 2026, 7:40 pm. Prices and availability may have changed.

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How the device gets into Home Assistant

  • official Matter – certified for Matter; paired through the Matter integration of Home Assistant. (Matter 1.4, certified on May 21, 2025) Integration · Source

Alternatives

The same job from other makers – devices of the same type and radio that work with Home Assistant too.

Sources: Zigbee2MQTT, ZHA quirks, Z-Wave JS, the Matter certification database, Shelly, ESPHome, Tasmota, Tuya Local and the issue trackers on GitHub. Reports are assigned to a device by the identifiers they contain; the sentences come from the integration pages, where a language model writes them from the titles.

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